首页|Reports from Shanghai Jiao Tong University Describe Recent Advances in Machine L earning (A Fast Method for Nested Estimation)
Reports from Shanghai Jiao Tong University Describe Recent Advances in Machine L earning (A Fast Method for Nested Estimation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Shan ghai, People’s Republic of China, by NewsRx correspondents, researchstated, “Ne sted estimation involves estimating an expectation of a function of a conditiona l expectationand has many important applications in operations research and mac hine learning. Nested simulation is aclassic approach to this estimation, and t he convergence rate of the mean squared error (MSE) of nestedsimulation estimat ors is only of order Gamma-2=3, where Gamma is the simulation budget.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShanghai Jiao Tong University
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